Designing of a fuzzy controller for grid connected photovoltaic system's converter and comparing with PI controller

2016 ◽  
Author(s):  
Kivanc Basaran ◽  
Numan Sabit Cetin
Keyword(s):  
Fuzzy Controller ◽  
Pi Controller

Modeling and Controlling of Anti-Slip Regulation Based on Limited-Slip Differential

2011 ◽  
Vol 86 ◽  
pp. 762-766
Author(s):  
Jian Jun Hu ◽  
Peng Ge ◽  
Zheng Bin He ◽  
Da Tong Qin
Keyword(s):  
Dynamic Models ◽  
Fuzzy Controller ◽  
Rear Wheel ◽  
Pi Controller ◽  
Hydraulic Control ◽  
Electronic Throttle ◽  
Adhesion Coefficient ◽  
The Road ◽  
Wheel Drive ◽  
Hydraulic Control System

The dynamic models of whole rear-wheel drive vehicle, limited-slip differential, hydraulic control system and electronic throttle were established. Simulations of acceleration course on split-µ road, checkerboard-µ road, low-µ road and step-µ road were carried out combining electronic throttle PI controller and limited-slip differential fuzzy controller. The results show that the Anti-slip Regulation quickly works according to the road adhesion coefficient, effectively inhibits the slip of driving wheels on low adhesion coefficient road, the acceleration performance driving on bad roads was improved obviously, and show a good adaptability.

scholarly journals Adaptive Fuzzy PI Current Control of Grid Interact PV Inverter

2018 ◽  
Vol 8 (1) ◽  
pp. 472 ◽  
Author(s):  
R.S. Ravi Sankar ◽  
S.V. Jayaram Kumar ◽  
G. Mohan Rao
Keyword(s):  
Power Generation ◽  
Pulse Width Modulation ◽  
Fuzzy Controller ◽  
Pi Controller ◽  
Current Control ◽  
Reference Voltage ◽  
Voltage Source ◽  
Pv Inverter ◽  
Photo Voltaic ◽  
Pv Power Generation

Now a day‟s, Photo Voltaic (PV) power generation rapidly increasing. This power generation highly depending on the temperature and irradiation. When this power interface with grid through the voltage source inverter with PI controller. Its gains should be updated due to the parametric changes for the better performance. In This Work Fuzzy Controller updates the gains of the proportional integral (PI)s Controller under variable parametric conditions. the gaines of the PI Controller are updated based on the error current and change in error current through the fuzzy controller. The error current in direct and quadrature frame are the Inputs to the PI controller. The PI Controller generates the reference voltage to the pulse width modulation technique. Here reference voltage is compared with the carrier signal to generate the pulses to the 3-Ph Inverter connected to the grid. This controller has given well dynamic response with less steady state error and also given The less THD of the grid current compared to the PI and Fuzzy controller.It Is implemented and verified in MATLAB Simulink.

Design and Implementation of Robust Controllers for an Intelligent Incubation Pisciculture System

2016 ◽  
Vol 1 (1) ◽  
pp. 101
Author(s):  
D. Ganesh ◽  
S.MD. Saleem Naveed ◽  
M. Kalyan Chakravarthi
Keyword(s):  
Embedded System ◽  
Fuzzy Controller ◽  
Pi Controller ◽  
Marine Habitat ◽  
Factors Affecting ◽  
Marine Habitats ◽  
The Embedded System ◽  
Healthy Growth ◽  
Tropical Climates ◽  
And Control

Aquaculture is major occupation for the humans living at coastal areas. The fresh water cultivation of the certain species is prominent in tropical and sub-tropical climates. Here the proposed work shows the relation-ship between the growth of the certain species of marine habitats and the factors affecting their growth with respect to the medium of their living. Advancement of embedded systems in aquaculture leads to new innovations of monitoring and controlling the various parameters. Here the embedded system based application is used, through which the monitoring and controlling of the light is done with the help of LabVIEW based PI controller as well as Fuzzy controller for the effective and healthy growth of the marine habitat. The Designed controllers are energy efficient based controller for controlling the Light Source (LS) via appropriate lighting control levels. The controlling and managing of the system is based on the present light intensity with the help of virtual controller. The proposed work involves the designing and implementation of PI controller and the fuzzy controller for the real time setup to monitor and control the process for optimal and feasible solution.

scholarly journals Analysis and Design of a Double Fuzzy PI Controller of a Voltage Outer Loop in a Reversible Three-Phase PWM Converter

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3778
Author(s):  
Weixuan Zhang ◽  
Yu Fang ◽  
Rong Ye ◽  
Zhengqun Wang
Keyword(s):  
Fuzzy Controller ◽  
Pi Controller ◽  
Pi Control ◽  
Control Parameters ◽  
Outer Loop ◽  
Pwm Converter ◽  
Dc Voltage ◽  
Three Phase ◽  
Wide Range ◽  
Fuzzy Pi Controller

Aiming at the application of a reversible three-phase pulse width modulation (PWM) converter with a wide range of AC side voltage and DC side voltage, a double fuzzy proportional integral (PI) controller for voltage outer loop was proposed. The structures of the proposed controller were motivated by the problems that either the traditional PI controller or single fuzzy PI controller cannot achieve high performance in a wide range of AC and DC voltage conditions. The presented double fuzzy controller studied in this paper is a sub fuzzy controller in addition to the traditional fuzzy PI controller; in particular, the sub fuzzy controller can get the auxiliary correction of PI control parameters according to the AC side voltage and the DC side given voltage variation of PWM converter after the reasoning of the sub fuzzy controller, while the traditional fuzzy PI controller outputs the correction of PI control parameters according to the DC voltage error and its error change rate. In this paper, the traditional fuzzy PI controller can be called the main fuzzy controller, and the adaptive adjustment of PI control parameters of the voltage outer loop is the sum of the PI parameter correction output by the main fuzzy controller and the auxiliary PI parameter correction output by the sub fuzzy controller. Finally, the experimental results show that the reversible three-phase PWM converter can achieve excellent dynamic and static performance in a wide range of AC voltage and DC voltage applications by using the proposed double fuzzy PI controller.

scholarly journals Fuzzy Algorithm for Supervisory Voltage/Frequency Control of a Self Excited Induction Generator

10.14311/898 ◽  
2006 ◽  
Vol 46 (6) ◽  
Author(s):  
Hussein F. Soliman ◽  
Abdel-Fattah Attia ◽  
S. M. Mokhymar ◽  
M. A. L. Badr
Keyword(s):  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Frequency Control ◽  
Dynamic Performance ◽  
Pi Controller ◽  
Induction Generator ◽  
Wind Energy Conversion ◽  
Voltage Frequency ◽  
Terminal Voltage ◽  
Rising Time

This paper presents the application of a Fuzzy Logic Controller (FLC) to regulate the voltage of a Self Excited Induction Generator (SEIG) driven by Wind Energy Conversion Schemes (WECS). The proposed FLC is used to tune the integral gain (KI) of a Proportional plus Integral (PI) controller. Two types of controls, for the generator and for the wind turbine, using a FLC algorithm, are introduced in this paper. The voltage control is performed to adapt the terminal voltage via self excitation. The frequency control is conducted to adjust the stator frequency through tuning the pitch angle of the WECS blades. Both controllers utilize the Fuzzy technique to enhance the overall dynamic performance.  The simulation result depicts a better dynamic response for the system under study during the starting period, and the load variation. The percentage overshoot, rising time and oscillation are better with the fuzzy controller than with the PI controller type. 

scholarly journals Comparative Analysis of PI controller, Fuzzy controller and Interval Type-2 Fuzzy based Performance of Dynamic Voltage Restorer for Compensation of Voltage Sag and Swell

2021 ◽  
Vol 23 (07) ◽  
pp. 550-557
Author(s):  
Bharti Thakur ◽  
◽  
Dr. Archana Rani ◽  
Keyword(s):  
Power Systems ◽  
Fuzzy Controller ◽  
Pi Controller ◽  
Voltage Sag ◽  
Dynamic Voltage Restorer ◽  
Synchronous Reference Frame ◽  
Voltage Restorer ◽  
Dynamic Voltage ◽  
Interval Type

In today’s scenario, the power quality issues like voltage sag and swell are major concerns in power systems. On the distribution, side to overcome this issue a custom power device DVR(Dynamic Voltage Restorer) is proven to be a more effective solution that is lower in cost, smaller in size, and offers a faster dynamic response for the protection of sensitive load. DVR is a series compensating device which operates as a voltage booster. The application of DVR is entitled to be a flawless compensating device for the compensation of voltage sag and swell. This paper presents the modeling and simulation using various controller topologies like PI controller based on synchronous reference frame algorithm, fuzzy controller, and interval type 2 fuzzy controller. The results are then verified using a Matlab-Simulink environment.

scholarly journals Improvement of Energy Efficiency and Control Performance of Cooling System Fan Applied to Industry 4.0 Data Center

Electronics ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 582 ◽  
Author(s):  
Jae-Sub Ko ◽  
Jun-Ho Huh ◽  
Jong-Chan Kim
Keyword(s):  
Energy Efficiency ◽  
Industry 4.0 ◽  
Data Centers ◽  
Fuzzy Controller ◽  
Cooling System ◽  
Pi Controller ◽  
Control Performance ◽  
Cooling Systems ◽  
Proportional Integral ◽  
And Performance

This paper proposes a control method to improve the energy efficiency and performance of cooling fans used for cooling. In Industry 4.0, a large number of digital data are used, and a large number of data centers are created to handle these data. These data centers consist of information technology (IT) equipment, power systems, and cooling systems. The cooling system is essential to prevent failure and malfunction of the IT equipment, which consumes a considerable amount of energy. This paper proposes a method to reduce the energy used in such cooling systems and to improve the temperature control performance. This paper proposes an fuzzy proportional integral(FPI) controller that controls the input value of the proportional integral(PI) controller by the fuzzy controller according to the operation state, a VFPI (Variable Fuzzy Proportional Integral) controller that adjusts the gain value of the fuzzy controller, and a variable fuzzy proportion integration-variable limit (VFPI-VL) controller that adjusts the limit value of the fuzzy controller’s output value. These controllers control the fan applied to the cooling system and compare the energy consumed and temperature control performance. When the PI controller consumes 100% of the power consumed, the FPI is 50.5%, the VFPI controller is 44.3%, and the VFPI-VL is 32.6%. The power consumption is greatly reduced. In addition, the VFPI-VL controller is the lowest in temperature variation, which improves the energy efficiency and performance of the cooling system using a fan. The methods presented in this paper can not only be applied to fans for cooling, but also to variable speed systems for various purposes and improvement of performance and efficiency can be expected.

Design and Application of Fuzzy Controller

2011 ◽  
Vol 464 ◽  
pp. 107-110 ◽  
Author(s):  
Wei Zhang ◽  
Xue Yong Li ◽  
Li Li ◽  
Jing Qiao Lv ◽  
Yan Feng Chen ◽  
...  
Keyword(s):  
Pid Controller ◽  
Large Time ◽  
Fuzzy Controller ◽  
Transient State ◽  
Pi Controller ◽  
Steam Temperature ◽  
Analysis And Design ◽  
Highly Nonlinear ◽  
Fuzzy Logic Method ◽  
Fuzzy Pi Controller

The steam temperature of the boiler is one of the important parameters in the power plant, and it is necessary to keep the temperature at a steady range. For the traditional PID controller, which is suitable for the analysis and design of the linear system, is unfit for the control of the steam temperature of the boiler, since it’s a nonlinear system where exists large time delay. To address this kind of problem, we combine the traditional PID method with the fuzzy logic method to construct a compound fuzzy PI controller in order to improve the performances in both steady state and transient state of the classical PID controller when highly nonlinear processes and better control performances have been arrived at.

Design of Main Circuit and Analysis of Active Power Filter

2012 ◽  
Vol 150 ◽  
pp. 160-164
Author(s):  
Yun Ce Jin ◽  
Li Chen Zhang
Keyword(s):  
Power Supply ◽  
Fuzzy Controller ◽  
Active Power Filter ◽  
Voltage Control ◽  
Pi Controller ◽  
Active Power ◽  
Power Electronic ◽  
Nonlinear Loads ◽  
Power Filter

With the use of power electronic equipments and increasing nonlinear loads, the problems of quality of power supply becomes serious. Different kinds of loads need different active power filter (APF). Performance of APF depends on the design of main circuit. In this paper, the principle of APF and many kinds of structure of main circuit are presented. Multilevel, injection circuit and multiplicity are analyzed. A combined controller, the combination of PI controller and fuzzy controller, is applied to voltage control of DC side.

A Comparative Performance Analysis of Indirect Vector Controlled Induction Motor Drive Using Optimized AI Techniques

2020 ◽  
Vol 17 (1) ◽  
pp. 464-472
Author(s):  
B. T. Venu Gopal ◽  
E. G. Shivakumar
Keyword(s):  
Induction Motor ◽  
Fuzzy Controller ◽  
Induction Machines ◽  
Pi Controller ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Comparative Performance ◽  
Neuro Fuzzy ◽  
Novel Method ◽  
Enhance Efficiency

This paper exhibits a point by point comparison between Neuro Fuzzy and Genetic Algorithm GA based control systems of Induction Motor drive, underlining favorable circumstances and drawbacks. Industries are advancing and upgrading generation line to enhance efficiency and quality. Induction machines are considered by nonlinear, time varying dynamics, inaccessibility of few states and thus can be considered as a challenging issue. In this paper, a novel method using modified GA is presented to limit electric losses of Induction Motor and it is compared with Neuro Fuzzy Controller. GA is a subordinate of AI, whose principle relies upon Darwin’s theory—struggle for existence and the survival of the fittest. The technique for deciding the gain parameters of PI controller utilizing GA whose output is utilized to control the torque applied to the Induction Motor in this way controlling its speed. The gains of PI controller are improved with the assistance of GA to upgrade the performance of IM drive. The results are simulated in MATLAB Simulink and are related with the conventional PI controller and Adaptive Neuro Fuzzy controller (NFC). NFC is less complicated and gives great speed precision yet GA based PI controller produces significantly reduced torque and speed ripples compared with other controllers, in this way limiting losses in IM drives.

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